AI Operations and Tools
这是一个远程位置。我们正在寻找一个高产量领导来管理我们的人工智能运营。我们有视觉和产品战略；我们需要一个"建设者-经理"执行它。你将坐在操作与工程的交叉口上，负责道多个关键优先事项并使用人工智能解决它们。你不仅仅是管理工作流程你是自动化它们。我们需要一个可信的问题解决器谁可以采取指令，写出产品要求 (PRD),原型解决方案，并推动到完成。无论是优化我们的发票逻辑，简化内部软件，创建营销道，自动化社交媒体内容，使用 AI 来跟踪潜在客户或构建面向客户的 AI 功能，你的目标都是效率。你将做什么 1.人工智能执行和产品要求 · 将战略转换为规范：从领导提供的产品愿景中看待并写详细的技术产品需求文件 (PRD),工程师可以立即建立出来。·快速原型设计：不要等待工程。使用 LLM,Python 或低代码工具来快速验证想法。· AI 实现：直接实施解决特定业务问题的 AI 代理或自动化 （例如",建立一个自动分类支持门票的代理"或"创建脚本来审计广告支出"或构建聊天机器人利用我们的帮助中心）. 2.运营效率和自动化 ·内部操作的"调整者":潜入我们的收费，CRM,上网，引擎生成和市场营销堆积以找到瓶。如果是一个过程是手动的，你的任务就是自动化它。·技术堆积集成：确保我们内部系统彼此交谈。建立了运行"粘合剂" （通过 API 或自动化的平台）将广告与我们的收费连接到 CRM 或我们的技术营销工具。·成本和速度优化：不地寻找使用人工智能的方式来降低运营成本并提高交付速度在所有部门。3."工作人员总监"敏捷性 ·无情优先级：你每天都会处理大量不同的任务。你必须能够立即从解决关键数据问题到未失去关注的新功能中转换背景。·可靠执行：你将以高度自主性和访问敏感数据操作。我们需要一个可以"抓住球"的员，确保这些问题在没有持续监督的情况下得到解决的人。
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This is a remote position.
We are looking for a high-output lead to manage our AI Operations. We have the vision and the product strategy; we need a "Builder-Operator" to execute it.
You will sit at the intersection of Operations and Engineering, tasked with juggling multiple critical priorities and using AI to solve them. You aren't just managing workflows—you are automating them.
We need a trustworthy problem solver who can take a directive, write the Product Requirements (PRD), prototype the solution, and drive it to completion. Whether it’s optimizing our billing logic, streamlining internal software, creating marketing funnels, automating social media content, using AI to follow up with leads, or building client-facing AI features, your goal is efficiency.
What You Will Do
1. AI Execution & Product Requirements
- Turn Strategy into Specs:Take the product vision provided by leadership and write detailed, technical Product Requirement Documents (PRDs) that engineers can immediately build from.
- Rapid Prototyping:Don't just wait for engineering. Use LLMs, Python, or low-code tools to build "Proof of Concept" features for our marketing, ads, or CRM tools to validate ideas fast.
- AI Implementation:Directly implement AI agents or automations that solve specific business problems (e.g., "Build an agent that auto-categorizes support tickets" or "Create a script to audit ad spend" or “Build a chat bot leveraging our help center”).
2. Operational Efficiency & Automation
- The "Fixer" for Internal Ops:Dive into our Billing, CRM, Onboarding, lead gen, and Marketing stacks to find bottlenecks. If a process is manual, your job is to automate it.
- Tech Stack Integration:Ensure our internal systems talk to each other. Build the operational "glue" (via APIs or automation platforms) that connects our ad tech to our billing, or our CRM to our marketing tools.
- Cost & Speed Optimization:relentlessly look for ways to use AI to reduce operating costs and increase speed of delivery across all departments.
3. "Chief of Staff" Agility
- Ruthless Prioritization:You will handle a high volume of varying tasks daily. You must be able to switch contexts instantly—from fixing a critical data issue to scoping a new feature—without losing focus.
- Trusted Execution:You will operate with high autonomy and access to sensitive data. We need someone who can "catch the ball" on complex problems and ensure they get solved without constant oversight.
Who You Are
· A "Technical" Operator:You are comfortable reading API documentation, writing SQL queries, and hacking together Python scripts to get the job done. You don't just request features; you help build the requirements.
- AI Native:You understand the difference between a prompt and an agent. You know how to leverage the latest AI tools to do the work of three people.
- High-Bandwidth & Organized:You thrive in a chaotic environment where priorities shift. You are the person who creates order out of noise.
- Execution-Obsessed:You care less about "strategy decks" and more about "shipping." You measure success by problems solved and features launched.
Requirements
Qualifications
· 5+ years of experience in Technical Operations, Product Operations, or as a Technical Founder.
- Proven experience writing technical PRDs and managing software development lifecycles.
- Strong proficiency with AI tools (OpenAI API, Claude, Gemini) and automation platforms (Zapier, Make, N8N).
- Deep familiarity with SaaS ecosystems: Billing (Chargebee), CRM, Marketing and AdTech.
Originally posted on Himalayas